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AI Whistleblower WARNS: "You Are Not Ready For What's Coming In 2027!"

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AI whistleblower Connor Leahy delivers a chilling warning about what he believes is coming as artificial intelligence rapidly advances beyond our expectations

This is the biggest threat to humanity there is… It could be great, but it’s being built as a weapon system to dominate the entire world. How long before it finds us to be the problem? It just seems inevitable that it will find that without us, the world will thrive.

AI Whistleblower Warns Superintelligence Could Overtake Human Control by 2027 and Nobody Knows How to Stop It

Artificial intelligence has already transformed the way people work, communicate and create. But according to AI safety researcher Connor Leahy, the biggest change may still be ahead.

Speaking in a recent interview, Leahy warned that the race towards superintelligent AI is accelerating far faster than many expected, and experts still do not know how to keep it under control. His message is clear. If current development continues without stronger safeguards, the world could face a technology that outthinks humanity itself, with no reliable way to predict or limit what it might do.

Experts Believe Superintelligence Could Arrive So Soon

Leahy argues that many people still imagine superintelligent AI as something decades away. However, he believes the jump from Artificial General Intelligence, or AGI, to Artificial Superintelligence, known as ASI, could happen surprisingly quickly.

His reasoning centres on a concept called recursive self improvement. Once AI becomes capable of performing at the level of top AI engineers, it could begin improving its own systems without relying on human developers. Every new version could then design an even more capable successor, creating an exponential cycle of progress.

Unlike traditional engineering projects, Leahy explained that AI development is filled with uncertainty. Engineers can calculate how a bridge will perform before it is built. AI does not work that way.

He said developers often discover what a new model can do only after it has already been released. Even the companies building the technology cannot fully predict its behaviour beforehand.



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